Saeed Izadi (saeedizadi)

saeedizadi

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Company:Simon Fraser University

Location:Vancouver, BC

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Saeed Izadi's starred repositories

pyfocusstackfo

Set of scripts to help you perform batch focus stacking with high quality result 📸

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CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

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unimatch

[TPAMI'23] Unifying Flow, Stereo and Depth Estimation

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awesome-diffusion-categorized

collection of diffusion model papers categorized by their subareas

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cv

Print-friendly, minimalist CV page

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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pure-bash-bible

📖 A collection of pure bash alternatives to external processes.

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ICCV-2023-Papers

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

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contextual_loss_pytorch

Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).

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Color-Transfer-between-Images

This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.

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gmflow

[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching

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DiffIR

This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023

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Blur-Generator

Generate blur image with 3 types of blur `motion`, `lens`, and `gaussian` by using OpenCV.

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taming-transformers

Taming Transformers for High-Resolution Image Synthesis

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IOPaint

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

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Image-Super-Resolution-via-Iterative-Refinement

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

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awesome-diffusion-low-level-vision

Awesome Diffusion Models in Low-Level Vision

License:MITStargazers:170Issues:0Issues:0

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

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DATSR

PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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SRGAN-PyTorch

A simple and complete implementation of super-resolution paper.

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automatic-video-colorization

[CVPR2019] Fully Automatic Video Colorization with Self-Regularization and Diversity

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motionblur

Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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DeeperCluster

Implements the unsupervised pre-training of convolutional neural networks

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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Swin-Transformer-TF

Tensorflow implementation of Swin Transformer model.

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keras-cv

Industry-strength Computer Vision workflows with Keras

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